Persons Aged over 10 by Sex, Age & 1911 Occupational Order

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Data for 1911:

Sex = Male 1911 Occupation Tables Age Groups
1911 Occupational Classification 10-13 14 15 16 17 18-19 20-24 25-44 45-64 65-69 70 up
Government 0 Show data context 3 Show data context 4 Show data context 4 Show data context 1 Show data context 6 Show data context 20 Show data context 71 Show data context 34 Show data context 0 Show data context 1 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 4 Show data context 0 Show data context 0 Show data context 0 Show data context
Professional Occupations 0 Show data context 0 Show data context 4 Show data context 6 Show data context 10 Show data context 12 Show data context 44 Show data context 154 Show data context 75 Show data context 10 Show data context 6 Show data context
Domestic Services 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 5 Show data context 12 Show data context 42 Show data context 28 Show data context 5 Show data context 4 Show data context
Commercial Occupations 0 Show data context 10 Show data context 18 Show data context 20 Show data context 25 Show data context 25 Show data context 64 Show data context 260 Show data context 94 Show data context 17 Show data context 6 Show data context
Transport 5 Show data context 44 Show data context 31 Show data context 17 Show data context 13 Show data context 41 Show data context 133 Show data context 546 Show data context 219 Show data context 20 Show data context 6 Show data context
Agriculture 0 Show data context 1 Show data context 1 Show data context 6 Show data context 0 Show data context 6 Show data context 10 Show data context 44 Show data context 55 Show data context 10 Show data context 7 Show data context
Fishing 0 Show data context 0 Show data context 2 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 9 Show data context 4 Show data context 0 Show data context 0 Show data context
Mines & Quarries 1 Show data context 26 Show data context 47 Show data context 61 Show data context 62 Show data context 130 Show data context 341 Show data context 715 Show data context 253 Show data context 18 Show data context 8 Show data context
Metals, Machines 0 Show data context 14 Show data context 41 Show data context 34 Show data context 41 Show data context 90 Show data context 178 Show data context 466 Show data context 257 Show data context 33 Show data context 15 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 1 Show data context 1 Show data context 3 Show data context 2 Show data context 8 Show data context 17 Show data context 10 Show data context 2 Show data context 0 Show data context
Building 0 Show data context 4 Show data context 23 Show data context 32 Show data context 19 Show data context 43 Show data context 98 Show data context 420 Show data context 277 Show data context 29 Show data context 14 Show data context
Wood, Furniture 0 Show data context 9 Show data context 14 Show data context 20 Show data context 22 Show data context 35 Show data context 68 Show data context 234 Show data context 93 Show data context 11 Show data context 5 Show data context
Brick, Cement 1 Show data context 6 Show data context 4 Show data context 3 Show data context 11 Show data context 8 Show data context 24 Show data context 128 Show data context 88 Show data context 9 Show data context 4 Show data context
Chemicals 1 Show data context 3 Show data context 4 Show data context 4 Show data context 1 Show data context 4 Show data context 7 Show data context 24 Show data context 7 Show data context 2 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 2 Show data context 1 Show data context 2 Show data context 0 Show data context 3 Show data context 15 Show data context 7 Show data context 1 Show data context 0 Show data context
Paper, Prints 0 Show data context 6 Show data context 3 Show data context 4 Show data context 6 Show data context 13 Show data context 18 Show data context 71 Show data context 28 Show data context 2 Show data context 4 Show data context
Textile Fabrics 2 Show data context 24 Show data context 40 Show data context 26 Show data context 37 Show data context 40 Show data context 72 Show data context 302 Show data context 212 Show data context 28 Show data context 7 Show data context
Dress 1 Show data context 0 Show data context 6 Show data context 8 Show data context 9 Show data context 10 Show data context 32 Show data context 147 Show data context 86 Show data context 11 Show data context 12 Show data context
Food, Drink 1 Show data context 14 Show data context 36 Show data context 28 Show data context 40 Show data context 62 Show data context 110 Show data context 416 Show data context 196 Show data context 17 Show data context 9 Show data context
Gas, Water 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 3 Show data context 6 Show data context 64 Show data context 28 Show data context 2 Show data context 3 Show data context
Other & Undefined 3 Show data context 94 Show data context 86 Show data context 76 Show data context 79 Show data context 166 Show data context 291 Show data context 1,131 Show data context 735 Show data context 97 Show data context 42 Show data context
Unoccupied 1,618 Show data context 111 Show data context 32 Show data context 14 Show data context 11 Show data context 12 Show data context 31 Show data context 33 Show data context 80 Show data context 64 Show data context 275 Show data context
Sex = Female 1911 Occupation Tables Age Groups
1911 Occupational Classification 10-13 14 15 16 17 18-19 20-24 25-44 45-64 65-69 70 up
Government 0 Show data context 0 Show data context 1 Show data context 0 Show data context 4 Show data context 2 Show data context 6 Show data context 14 Show data context 0 Show data context 0 Show data context 0 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 4 Show data context 1 Show data context 2 Show data context 3 Show data context 65 Show data context 112 Show data context 31 Show data context 1 Show data context 1 Show data context
Domestic Services 1 Show data context 17 Show data context 26 Show data context 30 Show data context 48 Show data context 86 Show data context 210 Show data context 277 Show data context 122 Show data context 19 Show data context 12 Show data context
Commercial Occupations 0 Show data context 7 Show data context 16 Show data context 14 Show data context 16 Show data context 41 Show data context 79 Show data context 55 Show data context 5 Show data context 0 Show data context 0 Show data context
Transport 1 Show data context 4 Show data context 5 Show data context 1 Show data context 4 Show data context 2 Show data context 2 Show data context 0 Show data context 3 Show data context 0 Show data context 0 Show data context
Agriculture 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 3 Show data context 7 Show data context 14 Show data context 4 Show data context 2 Show data context 1 Show data context
Fishing 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context
Mines & Quarries 0 Show data context 1 Show data context 0 Show data context 4 Show data context 2 Show data context 1 Show data context 4 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context
Metals, Machines 0 Show data context 1 Show data context 3 Show data context 2 Show data context 0 Show data context 4 Show data context 2 Show data context 5 Show data context 3 Show data context 0 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 3 Show data context 3 Show data context 0 Show data context 0 Show data context 0 Show data context
Building
Wood, Furniture 0 Show data context 1 Show data context 5 Show data context 6 Show data context 6 Show data context 12 Show data context 16 Show data context 14 Show data context 1 Show data context 1 Show data context 0 Show data context
Brick, Cement 1 Show data context 3 Show data context 16 Show data context 10 Show data context 15 Show data context 36 Show data context 37 Show data context 56 Show data context 8 Show data context 2 Show data context 1 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 10 Show data context 3 Show data context 0 Show data context 0 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context 0 Show data context 0 Show data context
Paper, Prints 0 Show data context 7 Show data context 17 Show data context 5 Show data context 14 Show data context 14 Show data context 32 Show data context 17 Show data context 8 Show data context 1 Show data context 1 Show data context
Textile Fabrics 12 Show data context 162 Show data context 175 Show data context 212 Show data context 188 Show data context 382 Show data context 649 Show data context 725 Show data context 219 Show data context 18 Show data context 8 Show data context
Dress 0 Show data context 8 Show data context 17 Show data context 21 Show data context 23 Show data context 53 Show data context 101 Show data context 197 Show data context 42 Show data context 5 Show data context 1 Show data context
Food, Drink 1 Show data context 2 Show data context 14 Show data context 16 Show data context 18 Show data context 39 Show data context 53 Show data context 106 Show data context 60 Show data context 7 Show data context 2 Show data context
Gas, Water
Other & Undefined 1 Show data context 10 Show data context 17 Show data context 12 Show data context 10 Show data context 19 Show data context 27 Show data context 70 Show data context 25 Show data context 8 Show data context 5 Show data context
Unoccupied 1,594 Show data context 151 Show data context 61 Show data context 52 Show data context 54 Show data context 121 Show data context 583 Show data context 4,358 Show data context 2,867 Show data context 418 Show data context 664 Show data context
nCube definition Click on the triangles for all about a particular number
Date: Source:
1911 1911 Census of Scotland, County Report, Table 22 , 'Occupations of males and females aged 10 years and upwards, in eleven groups of ages, and by status'

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nCube definition


All males and females at ages 10 years and upwards, categorised by gender, by 11 age groups, and by 23 occupational 'Orders'. This is the information provided by the 1911 Census of Scotland's Occupation Tables, and differ from that published for England and Wales by using a simpler age classification. The occupational categories include Order 23, 'Without Specified Occupations or Unoccupied'.


How to reference this page:

GB Historical GIS / University of Portsmouth, Kirkcaldy Burgh through time | Industry Statistics | Persons Aged over 10 by Sex, Age & 1911 Occupational Order, A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10360500/cube/OCC_ORD1911_AGESEX_S

Date accessed: 17th May 2024